[Read and download] Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
☆ Paul Gustafson ☆
| #3186176 in Books | 2015-04-01 | Original language:English | PDF # 1 | .60 x6.20 x9.20l,.90 | File Name: 1439869391 | 196 pages
Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIMs.
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